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Jeremiah Williams

@jeremiahwilliams

Message

I build Kubernetes-native ML platforms, LLM agents, and scalable Go/Python backend systems.

Nigeria

Message

What I'm looking for

I'm looking to build and operate production AI infrastructure, ML platforms, and backend systems where I can own deployment, scaling, observability, and reliable LLM or ML serving.

At Jamforte Technologies, I own ML systems end-to-end, from data sourcing and training through cloud deployment. I’m designing the company’s core AI agent: a FastAPI RAG service that retrieves business knowledge, executes real-time tools, tracks customer conversations, and escalates uncertain cases to humans.

I build the serving layer behind AI products, including a Go, Redis, and Python inference platform on AWS EKS that scales workers from zero with KEDA, plus a custom Go Kubernetes operator that turns an LLMService resource into autoscaled inference workloads. Across Go, Python, Kubernetes, Helm, AWS, and observability tooling, I focus on production systems that are measurable, resilient, and straightforward to operate.

Experience

Work history, roles, and key accomplishments

Current

MLOps Engineer

Current

Jamforte Technologies Ltd

Jan 2026 - Present (7 months)

Sole MLOps Engineer owning the full project lifecycle from data sourcing through production deployment. Designed and architected an AI Agent for the core platform, a RAG-based conversational system with interface-first architecture and real-time tool execution.

Go Python fastAPI RAG Vector Stores Docker AWS Sagemaker AWS Lambda GitHub Actions CI CD

Backend Engineer Intern

HNG Internship

Jan 2026 - Dec 2026 (11 months)

Built production-grade backend servers in Go following a repository-service-handler architecture with sqlc-generated type-safe queries. Implemented concurrent API servers, a rule-based NLP query engine, full auth stack, and rate limiting.